Source Code for Image Recognition

This MATLAB-based source code offers a comprehensive collection of image recognition examples that demonstrate practical implementations of key algorithms. The code includes implementations of feature extraction techniques such as SIFT, HOG, and SURF, along with pattern classification methods using neural networks, SVM classifiers, and template matching approaches. Each example contains detailed comments explaining the algorithmic workflow, including preprocessing steps like image filtering, edge detection, and segmentation operations. The codebase also demonstrates various object detection and recognition scenarios, showing how to handle different image formats and optimize performance through vectorization techniques. Additionally, you'll find implementations of image analysis functions for texture analysis, color processing, and morphological operations, all utilizing MATLAB's Image Processing Toolbox functions like imread, imfilter, bwlabel, and regionprops. This resource provides valuable reference material for understanding practical implementation aspects of image recognition systems, from basic thresholding to advanced machine learning-based recognition pipelines.